Senior AI Engineer
Tasks
- Architect AI platforms
- Build GenAI backend systems
- Build and implement AI models
- Conduct hyperparameter tuning
- Deploy AI agents and workflows
- Design ML and AI pipelines
- Develop LLM fine tuning techniques
- Drive AI and data engineering innovation
- Evaluate model performance
- Implement logging telemetry and evaluation harnesses
- Improve agile/scrum processes
- Manage incident and operational efficiency
- Mentor and coach AI and software developers
- Participate in architecture discussions
- Partner with cross-functional teams
Perks/Benefits
- Cell phone allowance
- Comprehensive health coverage
- Equity for every employee
- Growth-focused environment
- Home office setup allowance
- Unlimited paid time off
- Work from anywhere
Skills/Tech-stack
Agentic Systems | Agile | Cloud Architecture | Code review | Configuration Management | Data Preprocessing | Databricks | Debugging | Deep learning | Deployment | Distributed Systems | Embedding | Feature Engineering | Fine Tuning | Hyperparameter Tuning | Incident Management | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Observability | Orchestration | Pretraining | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scalable systems | Scrum | TensorFlow | Testing | Workflow Management
Education
Roles
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